Senior Algorithms Engineer in Wokingham

Our client is an established, leading design and manufacturing business with sites across the UK, delivering cutting-edge products to the defence industry. They're looking for an innovative Algorithms Engineer to join their Image Processing team, developing next-generation intelligent sensing and computer vision capabilities for challenging defence applications - including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms.

You'll solve complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to help systems detect, classify, track, and understand objects in challenging environments - with the opportunity to take technical ownership of key capability areas and mentor others across the team.

What you'll be doing:

• Researching, developing, and evaluating computer vision algorithms for image classification, object detection, and fine-grained recognition
• Designing datasets, evaluation methodologies, and automated pipelines to accelerate ML development
• Analysing model performance, identifying failure modes, and driving real-world capability improvements
• Supporting integration, testing, and deployment of algorithms into real-time video processing systems
• Mentoring engineers and sharing computer vision/ML expertise across the team
• Communicating technical concepts and recommendations to stakeholders and customers

What we’re looking for:

• Degree (or equivalent experience) in Computer Science, AI, Engineering, Mathematics, or Physics
• Practical experience deploying ML/computer vision algorithms in production or near-production systems
• Experience with modern CV architectures - object detection, image classification, transformers
• Strong Python skills, with C++ experience for production or performance-critical systems
• A methodical, ownership-driven approach to solving ambiguous technical problems

Nice to have:

• Bayesian inference, uncertainty estimation, or probabilistic modelling experience
• Familiarity with synthetic data, multi-modal neural networks, or action recognition
• Experience with ML tooling (experiment tracking, dataset management, CI/CD) or CMake for cross-platform C++

What's on offer:

• 37.5hr week with Friday lunchtime finishes, hybrid/flexible working
• 28 days annual leave + Christmas closure
• Matched pension up to 5%, income protection, life assurance
• EAP, health/wellbeing initiatives, EV salary sacrifice scheme
• Shares incentive plan, gym discounts, referral bonus, strong L&D support

Please note:

Successful candidates must be eligible to obtain UK Security Clearance, including 5 years' UK residency and full right-to-work history.

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